Springer Geostatistical Applications for Precision Agriculture

This book covers the application of geostatistics in precision agriculture, reflecting the wide range of methods available and showing how they can be applied in practice. Covers minimal theory, focusing on case studies, and offers two chapters on sampling. Review From the reviews:“Aims to illustrate the link between geostatistics and PA … . Experts in the subject area were each asked to write a chapter on a topic. … the editor has done a very good job in harmonizing the chapters and makes sure that they cover a sufficiently broad range of techniques. … written by geostatisticians offering techniques to a PA audience … . Does this book fulfil a need? Yes, I definitely believe so. … value for communities of both geostatisticians and PA practitioners.” (M. Van Meirvenne, European Journal of Soil Science, Vol. 62, August, 2011) From the Back Cover This book brings together in one place two dynamic subjects, precision agriculture and geostatistics, that have spatial variation at their core. Geostatistics is applied in precision agriculture (PA) to sampling, prediction, mapping, decision-making, economics, designed experiments, variable-rate applications and so on. Contributions from experts in both fields illustrate how geostatistics can and has been used to advantage with PA data such as yield, soil, crop, pests, aerial photograph, remote and proximal imagery. Geostatistical techniques include variography, ordinary-, disjunctive-, factorial-, indicator-, regression-, simple-, space-time- and co-kriging, and geostatistical simulation. The link between geostatistics and PA will increase as more intensive information on the soil and crops becomes available from sensors and on-the-go technology. This is not a recipe book, but is intended to guide readers in the use of appropriate techniques for the types of data and needs of the farmer in managing the land.